Robust Hierarchical Model Predictive Control of Graph-Based Power Flow Systems
Koeln, Justin P.
Alleyne, A. G.
MetadataShow full item record
A robust hierarchical model predictive control framework is presented for controlling a linear system of dynamically coupled subsystems. A graph-based modeling framework captures the conservation laws of power flow systems, for which control optimizes the storage and routing of energy to maximize transient and steady-state power throughput. A constructive approach is presented for developing an N-level hierarchical controller, which guarantees satisfaction of state and input constraints in the presence of signal and model uncertainty.
Full text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article).